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How Data Works @ eBlu

We get a variety of different types of data from a variety of sources.

Goal

The goal, mitigate complex access and various flavors of repetitive data tasks.

Examples:
  • Ingestion
  • Transformation
  • Cleansing
  • Prepping
  • Staging
  • Data Version Control

All of these items can be automated and more so replicated and tested. img